News

 Best Presentation Award

We’re proud to share a recent Best Presentation Award presented at the New Zealand Physics and Engineering in Medicine (NZPEM) Conference 2025 by Amritha Ramchandar, University of Canterbury.

This paper was co-authors by IMPACT Team Dr Ashkan Pakzad (Postdoc) and A/Prof Timur Gureyev (AI) from the University of Melbourne as part of the IMPACT NHMRC Synergy Grant.

The title of paper is “Evaluation and Segmentation of AI-Denoised Propagation-Based X-ray Phase-Contrast CT Images of the Breast”

Our Approach:
• Phase contrast imaging (PCI) to get higher SNR at lower doses 
• AI to denoise low-dose phase-contrast CT images 
• AI segmentation to identify adipose/glandular accurately 
• Advanced imaging + AI: enhances early detection while reducing radiation dose


 New Posters

🎉 We’re proud to share two posters presented at the General Breast Imaging Meeting (BIG) and the UK Imaging & Oncology Congress (UKIO) by Jenna Arbid, PhD Candidate, as part of the IMPACT NHMRC Synergy Grant.

These posters highlight our latest study on participant comfort during simulated breast propagation-based phase-contrast computed tomography (PB-CT) — a crucial step toward launching the world’s first clinical trial using PB-CT.

This cutting-edge imaging technology aims to combine high-resolution images with a more comfortable experience for patients — potentially transforming the way we approach breast cancer screening. Studies like this are helping shape protocols that don’t just meet technical standards but also prioritise the human experience.

Explore the virtual poster here


 We’re delighted to announce the publication of our latest research paper in Radiography! 🎉

“Women’s Tolerance of Breast Propagation-based Phase-Contrast Computed Tomography (PB-CT) Positioning Procedure” 🔬

A big shoutout to our incredible IMPACT team from the University of Sydney and ANSTO:
Jenna Arbid (PhD student)
Prof Patrick Brennan, PhD Brennan (CI)
Dr Dania Abu Awwad (Lecturer)
Prof Sarah Lewis (CI)
Dr Amir Tavakoli Taba Taba (CI)
Dr Yobelli Jimenez Jimmenez (AI)
Dr Thomas Leatham (Postdoc)
Dr Daniel Hausermann (AI, ANSTO)
Dr Chris Hall (Scientist, ANSTO) 
Dr Elette Engels (Researcher, ANSTO)

Led by Jenna Arbid, this study is a part of the IMPACT project funded by an NHMRC Synergy Grant.

This study supports the feasibility of PB-CT as a patient-centered imaging modality and contributes important insights as we move toward the world’s first clinical trial in breast PB-CT.

Read the full paper here


 Series Presentation

Excited to share that A/Prof Kaye Morgan, CI of the IMPACT NHMRC Synergy Grant Program at Monash University, recently presented at the European Society for Molecular Imaging during their “Heart and Lung in Focus” series. Her talk, titled “Novel Approaches to X-Ray Phase and Dark-Field Imaging of the Lung”, showcased innovative techniques pushing the boundaries of lung imaging. 

Watch the full presentation here


 Exciting Research Breakthrough! 🚀 

We’re delighted to announce the publication of our latest research paper in Scientific Reports! 🎉

“Evaluating the Feasibility of Region-of-Interest Phase-Contrast Imaging for Lung Cancer Diagnostics” 🔬

A big shoutout to our incredible IMPACT team:
From Monash University:
Lucy Costello (PhD student)
Jannis Ahlers (PhD student)
Dr Lorenzo D’Amico (Postdoc)
A/Prof Marcus Kitchen (AI)
A/Prof Kaye Morgan (CI)
Dr Daniel Hausermann (AI, ANSTO)
Dr Chris Hall (Scientist, ANSTO) 
Dr Yakov Nesterets (AI, CSIRO)

Led by Lucy Costello, this study is a part of the IMPACT project funded by an NHMRC Synergy Grant and involves collaboration with top-tier institutions including Monash University, ANSTO, CSIRO and The University of Adelaide.

This publication to examine how phase contrast imaging can help lung and breast cancer. Using the ‘Lungman’ phantom and the Australian Synchrotron’s Imaging and Medical beamline (IMBL), pictured below, this paper tests the feasibility of ‘region-of-interest phase-contrast’ CT for lung tumour characterisation.

The researchers show that it is possible to capture a high-resolution CT of a region the size of a coin, deep within a human-sized chest, to visualise the detail of a potential lung cancer. This ‘region-of-interest’ approach is combined with propagation-based x-ray phase contrast, which provides significantly improved visualisation of the lung anatomy. Since this region-of-interest CT image is less than 2% of the area of a whole-chest CT, the x-ray beam can be significantly narrowed, which localises the associated radiation dose. We hope this novel approach can be of use in detecting and characterising lung cancer, to better inform treatment planning and improve outcomes.

Read the full paper here